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Temporal Information and Event Markup Language (TIE-ML) is a markup strategyand annotation schema to improve the productivity and accuracy of temporal andevent related annotation of corpora to facilitate machine learning based modeltraining. For the annotation of events, temporal sequencing, and durations, itis significantly simpler by providing an extremely reduced tag set for justtemporal relations and event enumeration. In comparison to other standards, asfor example the Time Markup Language (TimeML), it is much easier to use bydropping sophisticated formalisms, theoretical concepts, and annotationapproaches. Annotations of corpora using TimeML can be mapped to TIE-ML with aloss, and TIE-ML annotations can be fully mapped to TimeML with certainunder-specification.

Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0